Response scale transfer for visual speed

By reversing the presentation order and frequency of stimuli between two series of trials, we studied how the category scale for visual speed is transferred across stimulus contexts. Participants judged five stimulus speeds, using three categories (slow, moderate, and fast). In Experiment 1, mainly frequent speeds (either low or high) occurred on the initial trials. This manipulation produced divergent preshift ratings for identical stimuli. Although subsequent reversal of stimulus context resulted in a reversal of scales, the adjustment was incomplete: The postshift ratings did not match the comparable preshift ones. In Experiment 2, mainly infrequent speeds were presented initially. Now the preshift ratings coincided, but higher postshift ratings occurred with the frequent high-speed rather than with the frequent low-speed stimuli. We conclude that with transfer into a new context, the spontaneous adjustment of response scale is determined (1) by the preshift primacy and the postshift frequency effects and (2) by the preshift frequency effect extended to the postshift trials.     

On visual speed

Summary According toJ. F. Brown the dependence of visual speed on field factors is principally due to influences which such field factors exert on phenomenal time.K. Koffka has pointed out that the same dependence may be due to variations of the spatial threshold in fields of different properties. In this paper experiments have been reported which in two cases decide in favor ofKoffka's explanation. This explanation is likely to be applicable to further instances. — Some ofBrown's own experimental results appear to be incompatible with his theory.

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Zusammenfassung J. F. Brown erkl?rt die Abh?ngigkeit gesehener Geschwindigkeiten von Feldfaktoren durch entsprechende Variationen im Gebiet der ph?nomenalen Zeit.K. Koffka hat darauf aufmerksam gemacht, da? die gleichen Tatbest?nde auf Abh?ngigkeit der Raumschwelle von Feldfaktoren beruhen k?nnten. Die vorliegende Arbeit berichtet über Versuche, die in zwei F?llen zugungsten vonKoffkas Erkl?rung entscheiden. Wahrscheinlich kann diese Erkl?rung auf andere F?lle ausgedehnt werden. —Brown selbst hat Versuche angestellt, deren Ausfall mit seiner Theorie unvereinbar erscheint.

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With 1 Figure.

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This investigation was performed under the direction of ProfessorW. K?hler. The author is indebted to him for the formulation of the problem, to him and to Dr.H. Wallach for guidance in the interpretation and presentation of the results, and to ProfessorJ. F. Brown for his courtesy in placing at his disposal published and unpublished papers.     

Erratum to: Voluntary action alters the perception of visual illusions

Attention, Perception, & Psychophysics -     

Guiding drivers towards safer driving speed: Exploiting visual dominance in speed adaptation

Inappropriate speed is a main cause of accidents. Drivers are often unaware of potential risks due to inadequate speed. To prevent dangerous situations, we need to understand perceptual factors influencing human speed perception. Due to the prominent role of vision in driving, we examined the effect of visuo-spatial stimuli on speed based on the optic flow. While developing an adaptive infrastructure measure to reduce speed, we conducted two consecutive studies, a driving simulator study and a field test to investigate findings further. In both studies, we placed lights on two sides of a highway exit and either illuminated them statically or activated them in a way that they appeared to be moving towards the driver. We expected drivers to slow down more when seeing static light stimuli compared to a baseline without lights. We also expected drivers to decrease speed more in conditions with oncoming lights compared to a baseline, and to static lights, due to distorted speed perception. The first study in a static driving simulator revealed no difference between conditions. In the field test, both static lights and lights moving towards the driver led to a speed reduction compared to a baseline but did not differ from one another. Lights in general led to lower driving speed, potentially due to their warning character, but we found no difference between the light conditions, suggesting that the effect might not be based on the optic flow. Future research should investigate the relationship between driven and perceived speed more closely.     

Response class: A Guttman scale analysis

This study addressed the problem of response class as it relates to coercive child behavior. Guttman scale analyses were used to determine if there were regular, unidimensional progressions across eight coercive response categories; that children who performed high probability coercive behaviors would also tend to perform all of the lower probability coercive behaviors. Rank-order correlations were done to determine if there was consistency in the response class across settings. Two samples of boys were observed in two school settings, classroom and playground. One sample was a derivation sample of 26 boys, the second a replication sample of 27 boys. Reproducibility coefficients for the derivation sample were .92 for the classroom Guttman scale analysis and .93 for the playground analysis. For the crossvalidation sample the reproducibility coefficients were .94 in both settings. Rankorder correlations across settings and done in terms of the number of subjects performing each of the coercive responses were .971 (df=6,p<.001) for the derivation sample and .996 df=6,p<.001) for the crossvalidation sample. It was concluded that the eight coercive responses observed appeared to constitute a response class, i.e., the ordering of the responses was transitive across subjects, and that the coercive response hierarchy was stable across school settings for groups of children.I wish to extend thanks to Gerald Patterson et al., of the Oregon Social Learning Center, for their space, time, and encouragement. Special thanks to Mark Weinrott for his excellent editorial comments.     

A Variable Response Inconsistency scale and a True Response Inconsistency scale for the Millon Adolescent Clinical Inventory

Variable Response Inconsistency (M-VRIN) and True Response Inconsistency (M-TRIN) scales were developed for the Millon Adolescent Clinical Inventory using 104 male and 78 female delinquents, ages 13-17 years. M-VRIN efficacy was assessed by comparing nonrandom protocols of 76 male and 34 female delinquents, ages 13-17 years, with 100 computer-generated random protocols. Nonrandom protocols were screened using a matched-pair Minnesota Multiphasic Personality Inventory-Adolescent or Jesness Inventory. M-TRIN efficacy was assessed by comparing protocols with 160 simulated acquiescent and nonacquiescent protocols. Specificities of .95 or higher showed sensitivities up to .89 for M-VRIN, and .90 and .79 for M-TRIN. Predictive power and overall effectiveness are reported for several base rates. Small relationships may exist between M-VRIN and race, and between M-TRIN and gender.     

Perception of visual speed while moving

During self-motion, the world normally appears stationary. In part, this may be due to reductions in visual motion signals during self-motion. In 8 experiments, the authors used magnitude estimation to characterize changes in visual speed perception as a result of biomechanical self-motion alone (treadmill walking), physical translation alone (passive transport), and both biomechanical self-motion and physical translation together (walking). Their results show that each factor alone produces subtractive reductions in visual speed but that subtraction is greatest with both factors together, approximating the sum of the 2 separately. The similarity of results for biomechanical and passive self-motion support H. B. Barlow's (1990) inhibition theory of sensory correlation as a mechanism for implementing H. Wallach's (1987) compensation for self-motion.     

The speed of visual recognition memory

Two processes are thought to support visual recognition memory (VRM): Familiarity and recollection. The former is generally considered to be faster. However, the relationship between the precise onset of the two processes is unclear. Here, we use a novel paradigm, the SAB (Speed and Accuracy Boosting procedure) that constrains participants to use their fastest strategy and provides a continuous distribution of their reaction times. We show that fast recognition occurs as early as ~370 ms, a limit that appears incompressible whatever types of stimuli were used. In a second experiment, running the SAB in conjunction with a modified version of the remember/know paradigm, we show that responses up to ~420 ms are based solely on familiarity. These time limits of 370 ms and 420 ms provide strong constraints on the neural mechanisms underlying VRM and suggest that the fastest, familiarity-based, responses could rely on the visual ventral stream only.     

Independence of speed and accuracy in visual search: evidence for separate mechanisms.

Data from two studies that tested children's attention using visual search for a series of targets in a complex display and a sustained-attention task waiting for signals in a similar display were subjected to Factor Analysis to explore previous indications that speed and accuracy (the number of false alarms to nontargets) on this task reflect different mechanisms. The two factors identified confirmed the separation of these two measures and also suggested that the speed factor was related to Mental Age, while the accuracy factor was related to ratings of attentional ability. It is suggested that ratings of attentional ability reflect the efficiency of executive functions, displayed in the ability to inhibit responses to nontargets in these tasks, while speed of search is related to processing speed in the nervous system. Therefore intelligence and attentional ability depend on different underlying features of the nervous system.     

Social salience does not transfer to oculomotor visual search

ABSTRACT

Evidence suggests that socially relevant information, such as self-referential information, leads to perceptual prioritization that is considered to be similar to prioritization based on physical stimulus salience. The current study used an oculomotor visual search paradigm to investigate whether self-prioritization affects visual selection early in time, akin to physical salience, or later in time, where it would relate to processing of top-down strategies. We report three experiments. Prior to each experiment, observers first performed a manual line-label matching task where they were asked to form associations between two orientation lines (right-tilted and left-tilted) and two labels (“you” and “stranger”). Participants then had to make a speeded eye-movement to one of the two lines without any task instructions (Experiment 1), to a dot probe target located on one of the two lines (Experiment 2), or to the line that was validly cued by its associated label (Experiment 3). We replicate previous findings with the manual stimulus-matching task. However, we did not find any evidence for increased salience of the self-relevant “you” stimulus during visual search, nor did we observe any self-prioritization due to later goal-driven or strategic processing. We argue that self-prioritization does not affect overt visual selection. The results suggest that the effects found in the manual matching task are unlikely to reflect self-prioritization during perceptual processing but might rather act on higher-level processing related to recognition or decision-making.     

Fractal fluctuations in gaze speed visual search

Visual search involves a subtle coordination of visual memory and lower-order perceptual mechanisms. Specifically, the fluctuations in gaze may provide support for visual search above and beyond what may be attributed to memory. Prior research indicates that gaze during search exhibits fractal fluctuations, which allow for a wide sampling of the field of view. Fractal fluctuations constitute a case of fast diffusion that may provide an advantage in exploration. We present reanalyses of eye-tracking data collected by Stephen and Mirman (Cognition, 115, 154-165, 2010) for single-feature and conjunction search tasks. Fluctuations in gaze during these search tasks were indeed fractal. Furthermore, the degree of fractality predicted decreases in reaction time on a trial-by-trial basis. We propose that fractality may play a key role in explaining the efficacy of perceptual exploration.